BitFuFu Stock Forward View

FUFU Stock   2.73  0.13  4.55%   
BitFuFu Stock outlook is based on your current time horizon.
At this time, the relative strength indicator of BitFuFu's share price is approaching 44. This usually indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling BitFuFu, making its price go up or down.

Momentum 44

 Sell Extended

 
Oversold
 
Overbought
The successful prediction of BitFuFu's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with BitFuFu Class A, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting BitFuFu's stock price prediction:
Quarterly Earnings Growth
76.836
EPS Estimate Next Quarter
0.03
EPS Estimate Current Year
0.27
EPS Estimate Next Year
0.38
Wall Street Target Price
6.954
Using BitFuFu hype-based prediction, you can estimate the value of BitFuFu Class A from the perspective of BitFuFu response to recently generated media hype and the effects of current headlines on its competitors.

BitFuFu Relative Strength Index

The Naive Prediction forecasted value of BitFuFu Class A on the next trading day is expected to be 2.30 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.75.

BitFuFu Class A Hype to Price Pattern

Investor biases related to BitFuFu's public news can be used to forecast risks associated with an investment in BitFuFu. The trend in average sentiment can be used to explain how an investor holding BitFuFu can time the market purely based on public headlines and social activities around BitFuFu Class A. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of BitFuFu's market sentiment to its price can help taders to make decisions based on the overall investors consensus about BitFuFu.
The Naive Prediction forecasted value of BitFuFu Class A on the next trading day is expected to be 2.30 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.75.

BitFuFu after-hype prediction price

    
  USD 2.74  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of BitFuFu to cross-verify your projections.

BitFuFu Additional Predictive Modules

Most predictive techniques to examine BitFuFu price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BitFuFu using various technical indicators. When you analyze BitFuFu charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the BitFuFu's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2010-12-31
Previous Quarter
43.9 M
Current Value
31.7 M
Quarterly Volatility
20 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for BitFuFu is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of BitFuFu Class A value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

BitFuFu Naive Prediction Price Forecast For the 1st of February

Given 90 days horizon, the Naive Prediction forecasted value of BitFuFu Class A on the next trading day is expected to be 2.30 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.75.
Please note that although there have been many attempts to predict BitFuFu Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that BitFuFu's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BitFuFu Stock Forecast Pattern

Backtest BitFuFu  BitFuFu Price Prediction  Buy or Sell Advice  

BitFuFu Forecasted Value

In the context of forecasting BitFuFu's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. BitFuFu's downside and upside margins for the forecasting period are 0.03 and 6.73, respectively. We have considered BitFuFu's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
2.73
2.30
Expected Value
6.73
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of BitFuFu stock data series using in forecasting. Note that when a statistical model is used to represent BitFuFu stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information Criteria114.3865
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1271
MAPEMean absolute percentage error0.0434
SAESum of the absolute errors7.7537
This model is not at all useful as a medium-long range forecasting tool of BitFuFu Class A. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict BitFuFu. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for BitFuFu

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BitFuFu Class A. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
0.142.747.17
Details
Intrinsic
Valuation
LowRealHigh
0.193.708.13
Details
1 Analysts
Consensus
LowTargetHigh
6.336.957.72
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as BitFuFu. Your research has to be compared to or analyzed against BitFuFu's peers to derive any actionable benefits. When done correctly, BitFuFu's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in BitFuFu Class A.

BitFuFu After-Hype Price Density Analysis

As far as predicting the price of BitFuFu at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in BitFuFu or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of BitFuFu, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

BitFuFu Estimiated After-Hype Price Volatility

In the context of predicting BitFuFu's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BitFuFu's historical news coverage. BitFuFu's after-hype downside and upside margins for the prediction period are 0.14 and 7.17, respectively. We have considered BitFuFu's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
2.73
2.74
After-hype Price
7.17
Upside
BitFuFu is unstable at this time. Analysis and calculation of next after-hype price of BitFuFu Class A is based on 3 months time horizon.

BitFuFu Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as BitFuFu is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BitFuFu backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with BitFuFu, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.21 
4.43
  0.01 
  0.02 
9 Events / Month
6 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
2.73
2.74
0.37 
6,329  
Notes

BitFuFu Hype Timeline

BitFuFu Class A is currently traded for 2.73. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.02. BitFuFu is forecasted to increase in value after the next headline, with the price projected to jump to 2.74 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.37%, whereas the daily expected return is currently at -0.21%. The volatility of related hype on BitFuFu is about 5034.09%, with the expected price after the next announcement by competition of 2.75. The company reported the previous year's revenue of 463.33 M. Net Income was 53.96 M with profit before overhead, payroll, taxes, and interest of 49.83 M. Given the investment horizon of 90 days the next forecasted press release will be in about 9 days.
Check out Historical Fundamental Analysis of BitFuFu to cross-verify your projections.

BitFuFu Related Hype Analysis

Having access to credible news sources related to BitFuFu's direct competition is more important than ever and may enhance your ability to predict BitFuFu's future price movements. Getting to know how BitFuFu's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how BitFuFu may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
NPBNorthpointe Bancshares 0.55 10 per month 1.72  0.02  3.68 (3.80) 8.26 
CCAPCrescent Capital BDC 0.16 9 per month 1.52 (0) 2.37 (2.38) 6.85 
ALRSAlerus Financial Corp 0.62 9 per month 1.17  0.11  2.92 (2.19) 9.30 
AXGSolowin Holdings 0.09 6 per month 0.00 (0.06) 10.33 (8.38) 34.77 
GAINGladstone Investment 0.15 10 per month 0.69 (0.04) 1.23 (1.23) 3.47 
SHBIShore Bancshares(0.12)8 per month 1.08  0.16  3.11 (1.67) 8.64 
DGICADonegal Group A(0.19)9 per month 0.00 (0.05) 1.99 (2.52) 5.10 
BWBBridgewater Bancshares(0.31)11 per month 1.28  0.09  3.22 (2.33) 9.97 
PRAAPRA Group(0.04)7 per month 0.00 (0.05) 4.92 (5.35) 26.01 
DEFTDeFi Technologies(0.03)10 per month 0.00 (0.19) 9.78 (13.89) 36.00 

Other Forecasting Options for BitFuFu

For every potential investor in BitFuFu, whether a beginner or expert, BitFuFu's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. BitFuFu Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in BitFuFu. Basic forecasting techniques help filter out the noise by identifying BitFuFu's price trends.

BitFuFu Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with BitFuFu stock to make a market-neutral strategy. Peer analysis of BitFuFu could also be used in its relative valuation, which is a method of valuing BitFuFu by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

BitFuFu Market Strength Events

Market strength indicators help investors to evaluate how BitFuFu stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BitFuFu shares will generate the highest return on investment. By undertsting and applying BitFuFu stock market strength indicators, traders can identify BitFuFu Class A entry and exit signals to maximize returns.

BitFuFu Risk Indicators

The analysis of BitFuFu's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in BitFuFu's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bitfufu stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for BitFuFu

The number of cover stories for BitFuFu depends on current market conditions and BitFuFu's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BitFuFu is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about BitFuFu's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

BitFuFu Short Properties

BitFuFu's future price predictability will typically decrease when BitFuFu's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of BitFuFu Class A often depends not only on the future outlook of the potential BitFuFu's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. BitFuFu's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding165.5 M
Cash And Short Term Investments38.2 M

Additional Tools for BitFuFu Stock Analysis

When running BitFuFu's price analysis, check to measure BitFuFu's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BitFuFu is operating at the current time. Most of BitFuFu's value examination focuses on studying past and present price action to predict the probability of BitFuFu's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BitFuFu's price. Additionally, you may evaluate how the addition of BitFuFu to your portfolios can decrease your overall portfolio volatility.